ForoughA / recursiveMemNetLinks
Tree Stack Memory Units
☆17Updated 5 years ago
Alternatives and similar repositories for recursiveMemNet
Users that are interested in recursiveMemNet are comparing it to the libraries listed below
Sorting:
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆34Updated 5 years ago
- ☆10Updated 4 years ago
- Code for the 2-simplicial Transformer paper☆21Updated 5 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Code for the paper "Learning to Prove Theorems by Learning to Generate Theorems"☆32Updated 4 years ago
- A curated list of awesome neural programming resources☆55Updated 7 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Conditional Theorem Proving☆53Updated 4 years ago
- Models and code from Learning to Predict Denotational Probabilities For Modeling Entailment☆14Updated 7 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated last year
- ☆38Updated 4 years ago
- Recursive Bayesian Networks☆11Updated 5 months ago
- From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm☆11Updated 3 years ago
- Dataset and documentation for paper on explaining solutions to physical reasoning tasks (ESPRIT))☆21Updated 5 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 4 years ago
- DeepLogic: Towards End-to-End Differentiable Logical Reasoning☆25Updated 5 years ago
- ☆21Updated 4 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Tensor product decomposition network☆19Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Do Neural Language Representations Learn Physical Commonsense?☆22Updated 3 years ago
- SyReNN: Symbolic Representations for Neural Networks☆41Updated 2 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆25Updated 2 years ago
- Neural-Grammar-Symbolic Learning with Back-Search☆55Updated last year
- A Python implementation of a graph-based parser for Abstract Meaning Representation (AMR)☆11Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago